🚀 Key Highlights
289+ hrs
8+ projects
Excel · Python
SQL · ML/DL
Tableau · PBI
job‑ready
for Data Analyst / Scientist
Applied Statistics with the Power of Data Science — 289‑hour comprehensive journey: foundational statistics, Excel, Python, SQL, Machine Learning, Deep Learning, Tableau & Power BI. From raw data to business insights. Includes live sessions, capstone projects, and portfolio building (GitHub/Kaggle).
🎯 Program Objectives
Empower with complete data science & analytics skills: statistical modeling, visualization, predictive analytics, ML/DL. Build expertise to drive data‑informed business strategies.
📘 Program curriculum · 8 core domains
Advanced Excel
Statistics
Python
SQL
Machine Learning
Deep Learning
Tableau
Power BI
🛠️ Tools covered
Excel
Python
NumPy
Pandas
Matplotlib
Seaborn
SQL
Tableau
Power BI
Jupyter
GitHub
Kaggle
🎯 Skills covered
Data Cleaning, Wrangling & Analysis
Statistical Analysis & Hypothesis Testing
Python for Data Science
SQL Querying & DB Management
ML Model Building & Evaluation
Deep Learning Fundamentals
Data Visualization & Dashboard Design
BI Reporting (Tableau & Power BI)
🎓 Capstone projects (8+)
1 Data Cleaning & Viz in Excel
2 Sales Performance · Power BI
3 Statistical Analysis (business data)
4 Python automation & manipulation
5 SQL retail insights
6 Customer churn · ML
7 Image classification · DL
8 Interactive dashboard · Tableau
🧭 Career pathways
Data Scientist
Data Analyst
BI Analyst
ML Enthusiast
Analytics Consultant
Build GitHub portfolio
Kaggle-ready projects
LinkedIn profile boost
⚡ Quantum Data Science — Empowering data‑driven decisions through applied stats, ML & BI.